Waystar

Waystar

Senior ML Engineer

Lehi, Utah, USA · Senior · full-time

Sponsorship not specifiedDetected 157 days ago
PythonVector DatabasesGCPCloud PlatformsCI/CDMachine LearningTensorFlowPyTorchNLPLLMsRAGAgentic AIMLOpsHIPAAResearchCollaborationProblem SolvingAdaptability

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

5 transfer filings in the last year, covering 5 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Language Model (LM) Development & Fine-tuning: Research, select, and experiment with appropriate open-source Language Models (Large & Small) (e.g., Phi-3, Mistral, Llama, Nemotron-H families) for specialized tasks.
  • Continuous Improvement & Research: Establish effective feedback loops from end-user interactions and system logs to identify areas for model improvement.
  • Curate and expand training datasets, ensuring data privacy (PHI/PII masking) and legal compliance.

Responsibilities

  • Data Pipeline & Knowledge Base Construction: Design, implement, and optimize robust pipelines for ingesting, parsing, and extracting structured information from complex documents (leveraging OCR, document layout analysis, Named Entity Recognition (NER), and Relationship Extraction (RE)).
  • Develop rich, nested JSON schemas for representing structured data and ensure scalable storage Generate and manage high-quality vector embeddings for efficient retrieval-augmented generation (RAG) within a Vector Database.
  • Explore and implement knowledge distillation techniques to transfer capabilities from larger models to smaller, more efficient LMs.
  • Agentic System Design & Implementation: Build and maintain the core agentic framework, including the orchestrator that intelligently routes queries and coordinates interactions between various specialized LM tools.
  • MLOps & Deployment: Deploy, manage, and monitor LMs and agentic components on Google Cloud Platform (Google Cloud Platform) using services like Vertex AI, GKE, Cloud Functions, and Cloud Run.
  • Implement robust MLOps practices for continuous integration, continuous delivery (CI/CD), model versioning, and performance monitoring (latency, throughput, accuracy).
  • Stay abreast of the latest research in LMs, agentic AI, NLP, and document understanding, applying relevant advancements to our system.
  • Active use of artificial intelligence (AI) tools and techniques to enhance performance, drive innovation, and improve decision-making across business functions.
  • Ability to leverage AI tools and platforms to streamline workflows, improve decision-making, and drive innovation.

Requirements

  • Direct experience with document processing technologies such as OCR, layout parsing, Document AI, or custom information extraction from unstructured text.
  • Experience with Vector Databases (e.g., pgvector, Pinecone, Weaviate, Qdrant) and RAG architectures.

Benefits

  • Develop and integrate "tools" (specialized LMs and external APIs) that perform atomic medical necessity tasks, ensuring strict behavioral alignment and structured outputs.
  • Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
  • 3+ years of professional experience in Machine Learning Engineering, with a strong focus on NLP.
  • Curiosity and adaptability in exploring emerging AI technologies, with a mindset for continuous learning and experimentation.

Company info

  • We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun.
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This listing is sourced directly from Waystar's careers page and normalized into a canonical job model.